This is The Entire Computer Science Curriculum in 1000 YouTube Videos
This is The Entire Computer Science Curriculum in 1000 YouTube Videos In this article, we are going to create an entire Computer Science curriculum using only YouTube videos. The Computer Science curriculum is going to cover every skill essential for a Computer Science Engineer that has expertise in Artificial Intelligence and its subfields, like: Machine Learning, Deep Learning, Computer Vision,
OpenAIのBatch APIを使ってお得にプロンプトを一括処理してみる - Taste of Tech Topics
はじめに こんにちは。データサイエンスチームYAMALEXのSsk1029Takashiです。 最近はOpenAIに日本支社が出来て、日本語対応が加速するというニュースにわくわくしています。 今回はそんなOpenAIから発表されたBatch APIという機能が便利、かつお得な機能だったのでどのように使えるのか試してみます。 Introducing the Batch API: save costs and get higher rate limits on async tasks (such as summarization, translation, and image classification). Just upload a file of bulk requests, receive results within 24 hours, and get 50% off API pri
I left OpenAI three weeks ago. I had joined the company back in May 2024. I wanted to share my reflections because there's a lot of smoke and noise around what OpenAI is doing, but not a lot of first-hand accounts of what the culture of working there actually feels like. Nabeel Qureshi has an amazing post called Reflections on Palantir, where he ruminates on what made Palantir special. I wanted to
The end of classical computer science is coming, and most of us are dinosaurs waiting for the meteor to hit. I came of age in the 1980s, programming personal computers such as the Commodore VIC-20 and Apple ][e at home. Going on to study computer science (CS) in college and ultimately getting a Ph.D. at Berkeley, the bulk of my professional training was rooted in what I will call “classical” CS: p
Mojo may be the biggest programming language advance in decades – fast.ai
I remember the first time I used the v1.0 of Visual Basic. Back then, it was a program for DOS. Before it, writing programs was extremely complex and I’d never managed to make much progress beyond the most basic toy applications. But with VB, I drew a button on the screen, typed in a single line of code that I wanted to run when that button was clicked, and I had a complete application I could now
In an interview with Evrone, Ryan Dahl speaks about the main challenges in Deno, the future of JavaScript and TypeScript, and tells how he would have changed his approach to Node.js if he could travel back in time. We met with Ryan Dahl, the creator of Node.js, to discuss the origins of the platform, its impact on JavaScript, and his thoughts on its future. In the interview he also reflected on hi
Internet Engineering Task Force (IETF) K. Davis Request for Comments: 9562 Cisco Systems Obsoletes: 4122 B. Peabody Category: Standards Track Uncloud ISSN: 2070-1721 P. Leach University of Washington May 2024 Universally Unique IDentifiers (UUIDs) Abstract This specification defines UUIDs (Universally Unique IDentifiers) -- also known as GUIDs (Globally Unique IDentifiers) -- and a Uniform Resou
Python open source libraries for scaling time series forecasting solutions
By Francesca Lazzeri. This article is an extract from the book Machine Learning for Time Series Forecasting with Python, also by Lazzeri, published by Wiley. In the first and second articles in this series, I showed how to perform feature engineering on time series data with Python and how to automate the Machine Learning lifecycle for time series forecasting. In this third and concluding article,
Golang Mini Reference 2022: A Quick Guide to the Modern Go Programming Language (REVIEW COPY)
Golang Mini Reference 2022 A Quick Guide to the Modern Go Programming Language (REVIEW COPY) Harry Yoon Version 0.9.0, 2022-08-24 REVIEW COPY This is review copy, not to be shared or distributed to others. Please forward any feedback or comments to the author. • feedback@codingbookspress.com The book is tentatively scheduled to be published on September 14th, 2022. We hope that when the release da
I first learned Kubernetes ("k8s" for short) in 2018, when my manager sat me down and said "Cloudflare is migrating to Kubernetes, and you're handling our team's migration." This was slightly terrifying to me, because I was a good programmer and a mediocre engineer. I knew how to write code, but I didn't know how to deploy it, or monitor it in production. My computer science degree had taught me a
Beyond the 70%: Maximizing the human 30% of AI-assisted coding
This is a follow-up to my article “The 70% problem: Hard truths about AI-assisted coding” AI coding assistants like Cursor, Cline, Copilot and WindSurf have transformed how software is built, shouldering much of the grunt work and boilerplate. Yet, as experienced developers and industry leaders note, there remains a crucial portion of software engineering that AI does not handle well – roughly tha
Real-world gen AI use cases from the world's leading organizations | Google Cloud Blog
AI is here, AI is everywhere: Top companies, governments, researchers, and startups are already enhancing their work with Google's AI solutions. Published April 12, 2024; last updated October 9, 2025. A year and a half ago, during Google Cloud Next 24, we published this list for the first time. It numbered 101 entries. It felt like a lot at the time, and served as a showcase of how much momentum b
文系学部卒でも無条件で不合格にならないアメリカのオンラインコンピューターサイエンス修士コースを調べ、出願校を決めた｜Toshinori Sugita
出願校最初の出願校は、ジョージア工科大学のOMSCSになりそうだ。履修できる授業の種類、オンラインコースの懐の深さ（合格率の高さ）（、費用）が主な理由だ。 前回の記事を書いた時点では、ペンシルバニア大学のMCITがベストではないかと考えていた。 しかし、他の選択肢を十分検討していなかったので、候補になり得るコースをリストアップして比較した。特に気にしたのは、つぎの点だ。 ・文系学士が無条件でNGにならない ・CS推奨であっても、テストやMOOCs受講、業務経験などでなんとかなる ・アメリカ（最初の候補として。イギリスやオーストラリアがダメというわけでは全然ないが、英語で学ぶことを前提としたい） ・授業（基礎、分散システム、その他機械学習、データサイエンスなど共通理解になり得るものが選択できる） ・出願要件の具体的な数字（英語テスト、書類、出願期限） ・合格率（オンラインはオンキャンパスと比
agent loop �� �p�� You are Manus, an AI agent created by the Manus team. You excel at the following tasks: 1. Information gathering, fact-checking, and documentation 2. Data processing, analysis, and visualization 3. Writing multi-chapter articles and in-depth research reports 4. Creating websites, applications, and tools 5. Using programming to solve various problems beyond development 6. Variou
The Andrej Karpathy episode. Andrej explains why reinforcement learning is terrible (but everything else is much worse), why model collapse prevents LLMs from learning the way humans do, why AGI will just blend into the previous ~2.5 centuries of 2% GDP growth, why self driving took so long to crack, and what he sees as the future of education. Watch on YouTube; listen on Apple Podcasts or Spotify
In "Software Engineering - The Soft Parts" Addy Osmani shares lessons from his first 10 years at Google on the "soft skills" that can help engineers become effective and scale their effectiveness. This guidance should help junior, mid-career and even senior developers move forward, deal with changing technology, and navigate building non-trivial systems. Today I'll share some of the software engin
戦略ファーム時代に読んだ700冊程度の本をまとめています*随時更新 戦略ファーム時代に読んだ700冊程度の本をまとめています I. 戦略 企業参謀 https://amzn.to/44iKVxM 当初、いまいち戦略というものが掴めきれず迷子になっていた時に「大前研一はこれだけ読め」と教わった本。大量に出ている他の大前本を読まなくて済むのが見過ごせない大きな価値 戦略サファリ 第2版 https://amzn.to/3csZg0t 経営戦略の本を読み漁るも、実プロジェクトの方が全くもって学びになるという普通の感想をもち、俯瞰での戦略論を求めるようになる。いやあ懐かしい 企業戦略論【上】基本編 競争優位の構築と持続 Jay Barney https://amzn.to/3dJjVxB 任天堂の戦略の妙に気が付きはじめ、ベースか似通ったものはないだろうかと思うようになった時にJay Barney
Fantastic Learning Resources Aug 6, 2023 People sometimes ask me: “Alex, how do I learn X?”. This article is a compilation of advice I usually give. This is “things that worked for me” rather than “the most awesome things on earth”. I do consider every item on the list to be fantastic though, and I am forever grateful to people putting these resources together. Learning to Code I don’t think I hav
Manuel Cerón
Last year I finally decided to learn some Rust. The official book by Steve Klabnik and Carol Nichols is excellent, but even after reading it and working on some small code exercises, I felt that I needed more to really understand the language. I wanted to work on a small project to get some hands-on experience, but most of my ideas didn’t feel very well suited for Rust. Then I started reading the
I’m a fairly frequent Hacker News lurker, especially when I have some other important task that I’m avoiding. I normally head to the Active page (lots of comments, good for procrastination) and pick a nice long discussion thread to browse. So over time I’ve ended up with a good sense of what topics come up a lot. “The Bay Area is too expensive.” “There are too many JavaScript frameworks.” “Bootcam
Obtain, Scrub, Explore, and Model Data with Unix Power Tools Welcome to the website of the second edition of Data Science at the Command Line by Jeroen Janssens, published by O’Reilly Media in October 2021. This website is free to use. The contents is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. You can order a physical copy at Amazon. If y
2020, Oct 18 Updated: 2021, Mar 14 6329 words 30 minutes python vs code pyenv poetry pytest pre-commit flake8 black mypy isort Intro The goal of this tutorial is to describe Python development ecosystem. It can be helpful for someone coming to Python from another programming language. They say that you should stick to algorithms and data structures, that you can learn a new language in just a coup
prompts.chat
Welcome to the “Awesome ChatGPT Prompts” repository! While this collection was originally created for ChatGPT, these prompts work great with other AI models like Claude, Gemini, Hugging Face Chat, Llama, Mistral, and more. ChatGPT is a web interface created by OpenAI that provides access to their GPT (Generative Pre-trained Transformer) language models. The underlying models, like GPT-4o and GPT-o
This article is a translation, the original version is available here. I started using the OCaml language regularly around 2012, and since then, my interest and enthusiasm for this language have only grown. It has become my preferred choice for almost all my personal projects, and it has also influenced my professional choices. Since 2014, I have been actively participating in public conferences d
Exactly ten years ago today, we published "Why We Created Julia", introducing the Julia project to the world. At this point, we have moved well past the ambitious goals set out in the original blog post. Julia is now used by hundreds of thousands of people. It is taught at hundreds of universities and entire companies are being formed that build their software stacks on Julia. From personalized me
Recently, Shopify’s CEO Tobi Lütke shared his thoughts on AI’s role in coding, stating that “reflexive AI usage is now a baseline expectation at Shopify.” The gist of his message was that AI is revolutionizing how we work, and everybody should jump on board this train or risk being left behind. I’m paraphrasing a bit, but not much – check out the post for complete context and content. This struck
State of Text Rendering 2024
Preface In 2009 I wrote State of Text Rendering, as a high-level review of the Free Software text rendering stack, with a focus on shaping, and mostly in the context of the GNOME Desktop. Since then, I have spent around twelve years working on various Google products to improve fonts and text rendering: all Open Source work. When I wrote that text in 2009, my main assignment was to finish HarfBuzz
Database Fundamentals
About a year ago, I tried thinking which database I should choose for my next project, and came to the realization that I don't really know the differences of databases enough. I went to different database websites and saw mostly marketing and words I don't understand. This is when I decided to read the excellent books Database Internals by Alex Petrov and Designing Data-Intensive Applications by
Try Mastering Emacs for free! Are you struggling with the basics? Have you mastered movement and editing yet? When you have read Mastering Emacs you will understand Emacs. It’s that time again: there’s a new major version of Emacs and, with it, a treasure trove of new features and changes. Notable features include the formal inclusion of native compilation, a technique that will greatly speed up y
Lakehouse: A New Generation of Open Platforms that Unify Data Warehousing and Advanced Analytics
Lakehouse: A New Generation of Open Platforms that Unify Data Warehousing and Advanced Analytics Michael Armbrust1, Ali Ghodsi1,2, Reynold Xin1, Matei Zaharia1,3 1Databricks, 2UC Berkeley, 3Stanford University Abstract This paper argues that the data warehouse architecture as we know it today will wither in the coming years and be replaced by a new architectural pattern, the Lakehouse, which will
From Common Lisp to Julia
This post explains my reasoning for migrating from Common Lisp to Julia as my primary programming language, after a few people have asked me to elaborate. This article is the product of my experiences and opinions, and may not reflect your own. Both languages are very well designed, and work well, so I encourage you to do your own research and form your own opinions about which programming languag
This post is based on my RustNationUK ‘24 talk with the same title. The talk video is on youtube, the slides are served from here. Also, here’s the lyrics of the song I introduced the talk with (sung to the tune of Bob Dylan’s “The times, they are a-changin’”): Come gather Rustaceans wherever you roam and admit that our numbers have steadily grown. The community’s awesomeness ain’t set in stone, s
I find blockchain fascinating because it extends open source software development to open source + state. This seems to be a genuine/exciting innovation in computing paradigms; We don’t just get to share code, we get to share a running computer, and anyone anywhere can use it in an open and permissionless manner. The seeds of this revolution arguably began with Bitcoin, so I became curious to dril
Expert Generalists
As computer systems get more sophisticated we've seen a growing trend to value deep specialists. But we've found that our most effective colleagues have a skill in spanning many specialties. We are thus starting to explicitly recognize this as a first-class skill of “Expert Generalist”. We can identify the key characteristics of people with this skill - and thus recruit and promote based on it. We
Screencast If you click on this screenshot, you'll see OSH running ./configure from CPython's tarball, with GC debug output. This is: 16K lines of gnarly shell generated by GNU autoconf Running in our shell interpreter, written in ~40K lines of typed Python. But, it's translated to ~80K lines of pure C++! That generated C++ runs on top of a ~4K line runtime of garbage collected data structures, an
Primitive Recursive Functions For A Working Programmer Aug 1, 2024 Programmers on the internet often use “Turing-completeness” terminology. Typically, not being Turing-complete is extolled as a virtue or even a requirement in specific domains. I claim that most such discussions are misinformed — that not being Turing complete doesn’t actually mean what folks want it to mean, and is instead a stand
K-nearest neighbors (k-NN) is a Machine Learning algorithm for supervised machine learning type. It is used for both regression and classification tasks. As we already know, a supervised machine learning algorithm depends on labeled input data, which the algorithm learns to produce accurate outputs when input unlabeled data. k-NN aims to predict the test data set by calculating the distance betwee
Holiday Book Recommendations for Software Engineers, Engineering Managers and Product Managers
Books perfect as reading or gifts during the end-of-year break for those working in tech. More than 100 book recommendations. I’ve always found books are an underrated way to learn something new. Great books contain years of hard-earned experiences compressed into what you can read in hours. However, you do need to give hours-long attention to them. This allows books to convey ideas that shorter-f
A History of Clojure
71 A History of Clojure RICH HICKEY, Cognitect, Inc., USA Shepherd: Mira Mezini, Technische Universität Darmstadt, Germany Clojure was designed to be a general-purpose, practical functional language, suitable for use by professionals wherever its host language, e.g., Java, would be. Initially designed in 2005 and released in 2007, Clojure is a dialect of Lisp, but is not a direct descendant of any
ハーバード・コンピューターサイエンス学部のすごかった授業３選｜山田寛久 | Asana ソリューションエンジニア
「ハーバードの授業ってどんな感じだったの？」とよく聞かれます。 私が受けた授業は、専攻の「コンピューターサイエンス」、副専攻の「物理」、ただ好きで取っていた「フランス語」、各分野から１コマずつ取る必要がある「教養」の４つに大別され、それぞれ以下のコマ数を受講しました。 それぞれ面白い授業ばかりだったのですが、今回はコンピューターサイエンスに絞って、すごかった授業を３つご紹介します。 1. CS50 - コンピューターサイエンス入門I この授業を受ければ、とりあえずプログラミングは一通りできるようになります。通常は１年生の前半で受講します。 早速例外で恐縮なのですが、私はこの授業を受講していません（プログラミング経験者だったので入門Iを飛ばして入門IIから受講しました）。ただ、取っていないにも関わらず深く印象に残っているくらい、この授業はキャンパスで大きな存在感がありました。 というのも、C
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く
Reflections on OpenAI
The End of Programming – Communications of the ACM
Interview with Ryan Dahl, Node.js & Deno creator by Evrone
RFC 9562: Universally Unique IDentifiers (UUIDs)
Solving common problems with Kubernetes
Manus tools and prompts
Andrej Karpathy — AGI is still a decade away
Software Engineering - The Soft Parts
Digital, digital and digital
Fantastic Learning Resources
Hacker News folk wisdom on visual programming
Welcome | Data Science at the Command Line, 2e
Python Best Practices for a New Project in 2021
xvw.lol - Why I chose OCaml as my primary language
Why We Use Julia, 10 Years Later
Coding as Craft: Going Back to the Old Gym
What's New in Emacs 28.1?
Easy Mode Rust — Llogiq on stuff
A from-scratch tour of Bitcoin in Python
Pictures of a Working Garbage Collector
Primitive Recursive Functions For A Working Programmer
k-NN (k-Nearest Neighbors) in Supervised Machine Learning